The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-26"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2971475 (up from 2896746 yesterday: 2.58 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "206544 (up from 202846 yesterday: 1.82 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.95



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 965783 27629 2.95 54881 1126 2.09 5.68
Spain 226629 2870 1.28 23190 288 1.26 10.23
Italy 197675 2324 1.19 26644 260 0.99 13.48
France 162220 576 0.36 22890 242 1.07 14.11
Germany 157770 1257 0.80 5976 99 1.68 3.79
United Kingdom 154037 4468 2.99 20794 413 2.03 13.50
Turkey 110130 2357 2.19 2805 99 3.66 2.55
Iran 90481 1153 1.29 5710 60 1.06 6.31
China 83912 3 0.00 4637 1 0.02 5.53
Russia 80949 6361 8.53 747 66 9.69 0.92
Brazil 63100 3776 6.37 4286 229 5.64 6.79
Canada 47147 1654 3.64 2663 114 4.47 5.65
Belgium 46134 809 1.78 7094 177 2.56 15.38
Netherlands 38040 656 1.75 4491 67 1.51 11.81
Switzerland 29061 167 0.58 1610 11 0.69 5.54
India 27890 1607 6.11 881 56 6.79 3.16
Peru 27517 2186 8.63 728 28 4.00 2.65
Portugal 23864 472 2.02 903 23 2.61 3.78
Ecuador 22719 0 0.00 576 0 0.00 2.54
Ireland 19262 701 3.78 1087 24 2.26 5.64
Sweden 18640 463 2.55 2194 2 0.09 11.77
Saudi Arabia 17522 1223 7.50 139 3 2.21 0.79
Israel 15443 145 0.95 201 2 1.01 1.30
Austria 15225 77 0.51 542 6 1.12 3.56
Mexico 14677 835 6.03 1351 46 3.52 9.20
Singapore 13624 931 7.33 12 0 0.00 0.09
Japan 13441 210 1.59 372 12 3.33 2.77
Chile 13331 473 3.68 189 8 4.42 1.42
Pakistan 13328 605 4.76 281 12 4.46 2.11
Poland 11617 344 3.05 535 11 2.10 4.61
Romania 11036 401 3.77 619 18 3.00 5.61
Korea, South 10738 10 0.09 243 1 0.41 2.26
Belarus 10463 873 9.10 72 5 7.46 0.69
United Arab Emirates 10349 536 5.46 76 5 7.04 0.73
Qatar 10287 929 9.93 10 0 0.00 0.10
Indonesia 8882 275 3.20 743 23 3.19 8.37
Denmark 8773 130 1.50 422 4 0.96 4.81
Ukraine 8617 492 6.06 209 8 3.98 2.43
Philippines 7579 285 3.91 501 7 1.42 6.61
Norway 7527 28 0.37 201 0 0.00 2.67
Czechia 7404 52 0.71 220 2 0.92 2.97
Australia 6714 20 0.30 83 3 3.75 1.24
Serbia 6630 0 0.00 125 0 0.00 1.89
Dominican Republic 6135 209 3.53 278 5 1.83 4.53
Malaysia 5780 38 0.66 98 0 0.00 1.70
Panama 5779 241 4.35 165 6 3.77 2.86
Bangladesh 5416 418 8.36 145 5 3.57 2.68
Colombia 5379 237 4.61 244 11 4.72 4.54
Finland 4576 101 2.26 190 4 2.15 4.15
South Africa 4546 185 4.24 87 1 1.16 1.91
Egypt 4534 215 4.98 317 10 3.26 6.99
Morocco 4065 168 4.31 161 2 1.26 3.96
Argentina 3892 112 2.96 192 7 3.78 4.93
Luxembourg 3723 12 0.32 88 3 3.53 2.36
Moldova 3408 104 3.15 96 2 2.13 2.82
Algeria 3382 126 3.87 425 6 1.43 12.57
Kuwait 3075 183 6.33 20 1 5.26 0.65
Thailand 2922 15 0.52 51 0 0.00 1.75
Kazakhstan 2717 116 4.46 25 0 0.00 0.92
Bahrain 2647 59 2.28 8 0 0.00 0.30
Greece 2517 11 0.44 134 4 3.08 5.32
Hungary 2500 57 2.33 272 10 3.82 10.88
Croatia 2030 14 0.69 55 1 1.85 2.71
Oman 1998 93 4.88 10 0 0.00 0.50
Uzbekistan 1869 7 0.38 8 0 0.00 0.43
Iraq 1820 57 3.23 87 1 1.16 4.78
Iceland 1792 2 0.11 10 0 0.00 0.56
Armenia 1746 69 4.11 28 0 0.00 1.60
Azerbaijan 1645 28 1.73 21 0 0.00 1.28
Estonia 1643 8 0.49 49 3 6.52 2.98
Cameroon 1621 103 6.79 56 3 5.66 3.45
Ghana 1550 271 21.19 11 1 10.00 0.71
Afghanistan 1531 68 4.65 50 3 6.38 3.27
Bosnia and Herzegovina 1516 30 2.02 59 2 3.51 3.89
New Zealand 1469 -1 -0.07 19 1 5.56 1.29
Lithuania 1438 12 0.84 41 0 0.00 2.85
Slovenia 1396 8 0.58 82 1 1.23 5.87
North Macedonia 1386 19 1.39 61 2 3.39 4.40
Slovakia 1379 6 0.44 18 1 5.88 1.31
Cuba 1369 32 2.39 54 3 5.88 3.94
Bulgaria 1300 53 4.25 56 1 1.82 4.31
Nigeria 1273 91 7.70 40 5 14.29 3.14
Cote d’Ivoire 1150 73 6.78 14 0 0.00 1.22
Djibouti 1023 15 1.49 2 0 0.00 0.20

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 288045 5902 2.09 22269 260 1.18 7.73 14806.80 1144.73 1 in 68
New Jersey 109038 3540 3.36 5938 24 0.41 5.45 12276.03 668.53 1 in 81
Massachusetts 54938 1590 2.98 2899 169 6.19 5.28 7905.31 417.15 1 in 126
Illinois 43903 2126 5.09 1933 58 3.09 4.40 3464.62 152.54 1 in 289
California 43558 1190 2.81 1725 36 2.13 3.96 1102.39 43.66 1 in 907
Pennsylvania 42616 1463 3.56 1816 23 1.28 4.26 3328.86 141.85 1 in 300
Michigan 37778 704 1.90 3315 160 5.07 8.77 3782.77 331.94 1 in 264
Florida 31532 693 2.25 1075 20 1.90 3.41 1468.12 50.05 1 in 681
Louisiana 26773 261 0.98 1729 22 1.29 6.46 5759.13 371.92 1 in 174
Connecticut 25269 686 2.79 1924 59 3.16 7.61 7087.51 539.65 1 in 141
Texas 24967 814 3.37 651 13 2.04 2.61 861.05 22.45 1 in 1161
Georgia 23486 264 1.14 916 9 0.99 3.90 2212.02 86.27 1 in 452
Maryland 18581 815 4.59 910 35 4.00 4.90 3073.43 150.52 1 in 325
Ohio 15972 385 2.47 728 17 2.39 4.56 1366.40 62.28 1 in 732
Indiana 15012 613 4.26 813 27 3.44 5.42 2229.87 120.76 1 in 448
Washington 13521 202 1.52 749 12 1.63 5.54 1775.60 98.36 1 in 563
Colorado 13441 473 3.65 688 4 0.58 5.12 2334.02 119.47 1 in 428
Virginia 12970 604 4.88 449 12 2.75 3.46 1519.53 52.60 1 in 658
Tennessee 9667 478 5.20 181 4 2.26 1.87 1414.72 26.49 1 in 707
North Carolina 8997 229 2.61 324 19 6.23 3.60 857.83 30.89 1 in 1166
Rhode Island 7439 310 4.35 226 11 5.12 3.04 7022.16 213.34 1 in 142
Missouri 7120 185 2.67 283 2 0.71 3.97 1160.10 46.11 1 in 862
Arizona 6534 248 3.95 275 2 0.73 4.21 858.06 36.11 1 in 1165
Alabama 6421 395 6.55 219 10 4.78 3.41 1309.56 44.66 1 in 764
Wisconsin 5912 225 3.96 272 6 2.26 4.60 1015.38 46.72 1 in 985
Mississippi 5911 193 3.38 227 6 2.71 3.84 1986.12 76.27 1 in 503
South Carolina 5498 245 4.66 174 8 4.82 3.16 1067.84 33.79 1 in 936
Iowa 5476 384 7.54 118 6 5.36 2.15 1735.62 37.40 1 in 576
Nevada 4734 195 4.30 206 1 0.49 4.35 1536.94 66.88 1 in 651
Utah 4123 175 4.43 41 0 0.00 0.99 1286.04 12.79 1 in 778
Kentucky 4085 170 4.34 208 3 1.46 5.09 914.35 46.56 1 in 1094
Delaware 4034 458 12.81 120 8 7.14 2.97 4142.69 123.23 1 in 241
District of Columbia 3841 142 3.84 178 13 7.88 4.63 5442.44 252.21 1 in 184
Minnesota 3602 156 4.53 272 28 11.48 7.55 638.69 48.23 1 in 1566
Kansas 3277 142 4.53 121 1 0.83 3.69 1124.84 41.53 1 in 889
Oklahoma 3254 60 1.88 195 1 0.52 5.99 822.35 49.28 1 in 1216
Nebraska 3028 309 11.36 56 6 12.00 1.85 1565.34 28.95 1 in 639
Arkansas 3001 90 3.09 51 3 6.25 1.70 994.42 16.90 1 in 1006
New Mexico 2726 66 2.48 99 6 6.45 3.63 1300.06 47.21 1 in 769
Oregon 2311 58 2.57 92 5 5.75 3.98 547.92 21.81 1 in 1825
South Dakota 2212 65 3.03 11 1 10.00 0.50 2500.40 12.43 1 in 400
Idaho 1897 10 0.53 56 0 0.00 2.95 1058.56 31.25 1 in 945
New Hampshire 1864 67 3.73 60 7 13.21 3.22 1370.88 44.13 1 in 729
Puerto Rico 1371 64 4.90 84 1 1.20 6.13 429.28 26.30 1 in 2329
West Virginia 1055 45 4.46 34 2 6.25 3.22 590.33 19.02 1 in 1694
Maine 1015 50 5.18 50 3 6.38 4.93 755.09 37.20 1 in 1324
North Dakota 867 64 7.97 17 1 6.25 1.96 1137.70 22.31 1 in 879
Vermont 851 8 0.95 46 0 0.00 5.41 1363.81 73.72 1 in 733
Hawaii 606 1 0.17 14 1 7.69 2.31 428.00 9.89 1 in 2336
Wyoming 502 11 2.24 7 0 0.00 1.39 867.37 12.09 1 in 1153
Montana 448 3 0.67 14 0 0.00 3.12 419.17 13.10 1 in 2386
Alaska 340 1 0.29 9 0 0.00 2.65 464.77 12.30 1 in 2152

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 805350 288045 57103 35.77 19.82 41398.59
New Jersey 223144 109038 6573 48.86 6.03 25122.63
Massachusetts 236100 54938 5104 23.27 9.29 33973.65
Illinois 214952 43903 4595 20.42 10.47 16962.99
California 526084 43558 4928 8.28 11.31 13314.46
Pennsylvania 198593 42616 2736 21.46 6.42 15512.67
Michigan 193879 37778 2757 19.49 7.30 19413.42
Florida 344613 31532 5155 9.15 16.35 16045.13
Louisiana 143036 26773 1701 18.72 6.35 30768.41
Connecticut 79811 25269 1766 31.66 6.99 22385.58
Texas 276021 24967 1542 9.05 6.18 9519.32
Georgia 123223 23486 4359 19.06 18.56 11605.74
Maryland 96665 18581 3962 19.22 21.32 15989.10
Ohio 115783 15972 3178 13.79 19.90 9905.21
Indiana 81708 15012 1446 18.37 9.63 12136.86
Washington 170594 13521 508 7.93 3.76 22402.68
Colorado 59791 13441 2410 22.48 17.93 10382.66
Virginia 76118 12970 2014 17.04 15.53 8917.79
Tennessee 148221 9667 828 6.52 8.57 21691.38
North Carolina 107894 8997 451 8.34 5.01 10287.29
Rhode Island 53403 7439 691 13.93 9.29 50410.58
Missouri 69748 7120 679 10.21 9.54 11364.37
Arizona 64811 6534 1037 10.08 15.87 8511.08
Alabama 73551 6421 845 8.73 13.16 15000.66
Wisconsin 65146 5912 1397 9.08 23.63 11188.79
Mississippi 60788 5911 1001 9.72 16.93 20425.05
South Carolina 50761 5498 944 10.83 17.17 9858.97
Iowa 36090 5476 286 15.17 5.22 11438.73
Nevada 38186 4734 NA 12.40 NA 12397.42
Utah 95702 4123 345 4.31 8.37 29851.30
Kentucky 46558 4085 1266 8.77 30.99 10421.08
Delaware 19249 4034 317 20.96 7.86 19767.62
District of Columbia 18068 3841 402 21.26 10.47 25601.17
Minnesota 58987 3602 829 6.11 23.01 10459.37
Kansas 26227 3277 485 12.49 14.80 9002.46
Oklahoma 53144 3254 653 6.12 20.07 13430.47
Nebraska 21228 3028 NA 14.26 NA 10973.90
Arkansas 39469 3001 291 7.60 9.70 13078.62
New Mexico 53735 2726 412 5.07 15.11 25626.79
Oregon 48964 2311 546 4.72 23.63 11609.07
South Dakota 16274 2212 135 13.59 6.10 18395.79
Idaho 19565 1897 169 9.70 8.91 10917.57
New Hampshire 18751 1864 238 9.94 12.77 13790.43
Puerto Rico 10684 1371 NA 12.83 NA 3345.34
West Virginia 39063 1055 100 2.70 9.48 21857.74
Maine 17799 1015 159 5.70 15.67 13241.21
North Dakota 20717 867 71 4.18 8.19 27185.45
Vermont 14797 851 34 5.75 4.00 23713.56
Hawaii 28483 606 68 2.13 11.22 20116.93
Wyoming 8159 502 54 6.15 10.76 14097.40
Montana 12862 448 61 3.48 13.62 12034.30
Alaska 16177 340 14 2.10 4.12 22113.47

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 8068 440 5.77 1188 14.72 6538 342 19 5.88 4.24
Gujarat 3301 230 7.49 313 9.48 2837 151 18 13.53 4.57
Delhi 2918 293 11.16 877 30.05 1987 54 0 0.00 1.85
Rajasthan 2185 43 2.01 629 28.79 1515 41 7 20.59 1.88
Madhya Pradesh 2090 145 7.46 302 14.45 1685 103 4 4.04 4.93
Tamil Nadu 1885 64 3.51 1020 54.11 841 24 1 4.35 1.27
Uttar Pradesh 1873 80 4.46 327 17.46 1516 30 3 11.11 1.60
Andhra Pradesh 1097 81 7.97 231 21.06 835 31 0 0.00 2.83
Telangana 1001 11 1.11 316 31.57 660 25 0 0.00 2.50
West Bengal 611 40 7.01 105 17.18 486 20 2 11.11 3.27
Jammu and Kashmir 523 29 5.87 137 26.20 380 6 0 0.00 1.15
Karnataka 503 3 0.60 182 36.18 302 19 1 5.56 3.78
Kerala 469 11 2.40 342 72.92 123 4 0 0.00 0.85
Punjab 322 14 4.55 84 26.09 220 18 1 5.88 5.59
Haryana 296 9 3.14 199 67.23 94 3 0 0.00 1.01
Bihar 277 26 10.36 56 20.22 219 2 0 0.00 0.72
Odisha 103 0 0.00 35 33.98 67 1 0 0.00 0.97
Jharkhand 82 15 22.39 13 15.85 66 3 0 0.00 3.66
Uttarakhand 51 3 6.25 26 50.98 25 0 0 NaN 0.00
Himachal Pradesh 40 0 0.00 22 55.00 16 2 0 0.00 5.00
Chhattisgarh 37 0 0.00 32 86.49 5 0 0 NaN 0.00
Assam 36 0 0.00 27 75.00 8 1 0 0.00 2.78
Chandigarh 36 8 28.57 17 47.22 19 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 11 33.33 22 0 0 NaN 0.00
Ladakh 20 0 0.00 16 80.00 4 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Puducherry 8 0 0.00 4 50.00 4 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 337797 72889 920 1.28 21.58 8481 706 35166 13325 18.28
Piemonte 135142 24820 394 1.61 18.37 2866 214 15519 2823 11.37
Emilia-Romagna 161928 24450 241 1.00 15.10 2695 245 12341 3386 13.85
Veneto 316361 17471 80 0.46 5.52 1097 124 9138 1315 7.53
Toscana 127394 9147 132 1.46 7.18 677 158 6069 778 8.51
Liguria 42607 7488 187 2.56 17.57 748 82 3480 1114 14.88
Lazio 121677 6309 85 1.37 5.19 1442 161 4573 389 6.17
Marche 52063 6111 53 0.87 11.74 668 58 3308 879 14.38
Campania 67218 4331 32 0.74 6.44 536 45 2924 345 7.97
Puglia 55992 3948 36 0.92 7.05 464 48 2937 399 10.11
P.A. Trento 32142 3894 56 1.46 12.11 199 24 1682 405 10.40
Sicilia 70104 3055 35 1.16 4.36 445 33 2107 228 7.46
Friuli Venezia Giulia 59681 2917 14 0.48 4.89 129 13 1248 264 9.05
Abruzzo 33820 2859 27 0.95 8.45 324 24 2068 295 10.32
P.A. Bolzano 37431 2481 5 0.20 6.63 138 14 994 269 10.84
Umbria 32569 1368 2 0.15 4.20 91 17 296 64 4.68
Sardegna 21101 1280 9 0.71 6.07 95 20 783 109 8.52
Valle d’Aosta 6135 1106 6 0.55 18.03 82 7 254 131 11.84
Calabria 30853 1089 1 0.09 3.53 118 8 797 80 7.35
Basilicata 10077 366 5 1.39 3.63 57 7 219 25 6.83
Molise 5567 296 4 1.37 5.32 20 1 200 21 7.09

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 24109 842 3.62 1516 70 4.84 6.29 2823.84 177.57 1 in 354
Ontario 15568 556 3.70 960 44 4.80 6.17 1058.20 65.25 1 in 945
Alberta 4480 247 5.84 73 0 0.00 1.63 1015.15 16.54 1 in 985
British Columbia 1948 0 0.00 100 0 0.00 5.13 381.14 19.57 1 in 2624
Saskatchewan 353 4 1.15 4 0 0.00 1.13 298.73 3.39 1 in 3347
Manitoba 271 4 1.50 6 0 0.00 2.21 196.73 4.36 1 in 5083
Newfoundland and Labrador 258 1 0.39 3 0 0.00 1.16 494.85 5.75 1 in 2021
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1587 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1037 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 936 13 1.39
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 642 7 1.09
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 286 3 1.05
Guangxi 254 2 0.79
Inner Mongolia 198 1 0.51
Shanxi 197 0 0.00
Tianjin 190 3 1.58
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 110 1 0.91
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2951.66 167.73 1 in 339
Spain 4857.03 497.00 1 in 206
Italy 3268.44 440.54 1 in 306
France 2421.56 341.69 1 in 413
Germany 1905.66 72.18 1 in 525
United Kingdom 2318.44 312.97 1 in 431
Turkey 1362.83 34.71 1 in 734
Iran 1114.85 70.35 1 in 897
China 60.54 3.35 1 in 16517
Russia 560.20 5.17 1 in 1785
Brazil 301.48 20.48 1 in 3317
Canada 1254.24 70.84 1 in 797
Belgium 4046.84 622.28 1 in 247
Netherlands 2214.20 261.41 1 in 452
Switzerland 3391.02 187.86 1 in 295
India 20.83 0.66 1 in 48010
Peru 855.36 22.63 1 in 1169
Portugal 2319.14 87.76 1 in 431
Ecuador 1366.97 34.66 1 in 732
Ireland 3987.99 225.05 1 in 251

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 158258 17280 10.92
Nassau New York 34522 1587 4.60
Suffolk New York 32059 1070 3.34
Cook Illinois 30574 1313 4.29
Westchester New York 27664 946 3.42
Los Angeles California 19567 916 4.68
Wayne Michigan 15748 1580 10.03
Bergen New Jersey 14965 955 6.38
Hudson New Jersey 13708 661 4.82
Essex New Jersey 12863 1023 7.95
Middlesex Massachusetts 12648 670 5.30
Philadelphia Pennsylvania 12566 472 3.76
Union New Jersey 11853 571 4.82
Suffolk Massachusetts 11543 391 3.39
Miami-Dade Florida 11351 301 2.65
Rockland New York 11256 453 4.02
Passaic New Jersey 11137 426 3.83
Middlesex New Jersey 10642 442 4.15
Fairfield Connecticut 10529 707 6.71
Orange New York 8106 274 3.38
Essex Massachusetts 7489 336 4.49
Oakland Michigan 6928 620 8.95
New Haven Connecticut 6715 429 6.39
Orleans Louisiana 6342 406 6.40
Jefferson Louisiana 6059 329 5.43
Ocean New Jersey 5962 322 5.40
King Washington 5863 408 6.96
Monmouth New Jersey 5671 291 5.13
Harris Texas 5628 84 1.49
Norfolk Massachusetts 5288 400 7.56
Providence Rhode Island 5266 0 0.00
Macomb Michigan 5203 520 9.99
Hartford Connecticut 4989 579 11.61
Prince George’s Maryland 4987 174 3.49
Morris New Jersey 4976 351 7.05
Marion Indiana 4796 259 5.40
Broward Florida 4729 170 3.59
Worcester Massachusetts 4572 183 4.00
Plymouth Massachusetts 4495 212 4.72
District of Columbia District of Columbia 3841 178 4.63
Montgomery Pennsylvania 3733 217 5.81
Clark Nevada 3665 174 4.75
Montgomery Maryland 3645 180 4.94
Riverside California 3563 118 3.31
Maricopa Arizona 3359 122 3.63
Mercer New Jersey 3355 188 5.60
Hampden Massachusetts 3295 315 9.56
Delaware Pennsylvania 3281 141 4.30
Somerset New Jersey 3144 223 7.09
Dallas Texas 3014 82 2.72

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc